地理科学 ›› 2020, Vol. 40 ›› Issue (11): 1848-1858.doi: 10.13249/j.cnki.sgs.2020.11.010

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东北城市人口流动倾向强度与吸引力度耦合协调研究

闫广华1,2(), 张云3,*()   

  1. 1.吉林大学行政学院,吉林 长春 130012
    2.长春师范大学地理科学学院,吉林 长春 130024
    3.国家海洋环境监测中心,辽宁 大连 116023
  • 收稿日期:2019-09-12 修回日期:2020-03-23 出版日期:2020-11-10 发布日期:2020-11-10
  • 通讯作者: 张云 E-mail:27565170@qq.com;cloud208@163.com
  • 作者简介:闫广华(1979-),男,辽宁朝阳人,博士,副教授,主要从事区域空间结构、区域公共政策研究。E-mail: 27565170@qq.com
  • 基金资助:
    吉林省科技厅重大科技攻关项目(20180201085SF,20190303017SF)、吉林省社会科学基金项目(2020B063)资助

Coupling Coordination Degree of the Urban Population Flow Tendency Strength and Urban Gravity in Northeast China Based on Network Attention Data

Yan Guanghua1,2(), Zhang Yun3,*()   

  1. 1. School of Public Administration, Jilin University, Changchun 130012, Jilin, China
    2. School of Geographical Sciences, Changchun Normal University, Changchun 130024, Jilin, China
    3. National Marine Environmental Monitoring Center, Dalian 116023, Liaoning, China
  • Received:2019-09-12 Revised:2020-03-23 Online:2020-11-10 Published:2020-11-10
  • Contact: Zhang Yun E-mail:27565170@qq.com;cloud208@163.com
  • Supported by:
    Key Scientific and Technological Research and Development Project of Jilin Provincial Science and Technology Department (20180201085SF, 20190303017SF), Social Science Foundation of Jilin Province (2020B063)

摘要:

以东北三省177个城市为研究对象,以智联招聘、前程无忧、58同城招聘、携程、去哪儿、途牛、58同城租房网、赶集网、居安客、百度地图、高德地图和腾讯地图12个网站的网络关注数据为样本,运用网络数据挖掘技术,构建城市人口流动倾向强度和吸引力度测算模型,并结合耦合协调模型和核密度测量方法,测出东北三省城市人口流动倾向强度与吸引力度的等级特征、类型特征和空间特征。研究结果表明:① 东北不同规模城市的人口流动倾向强度和城市吸引力度不同,城市规模越大,其人口流动倾向强度和城市吸引力度就越高;相似规模城市的人口流动倾向强度和城市吸引力度也表现出明显的差异性;东北地区城市人口流动倾向强度和城市吸引力度总体呈现出正比例关系;东北城市人口流动倾向强度和城市吸引力度都表现出较高的城市首位特征和明显的长尾特征;② 东北城市人口流动倾向强度和城市吸引力度极度耦合、高度耦合、中度耦合和低度耦合的城市分别占东北城市总数的2.26%、7.91%、24.29%、65.54%;各省间人口流动倾向强度与城市吸引力度耦合协调水平整体差异较小,差距不明显;人口流动超前型、同步型和滞后型分别占东北城市总数的63.85%、17.51%和18.64%,省际差异明显;③ 东北城市人口流动倾向强度和城市吸引力度耦合协调空间特征表现出等级性、集聚性、洼地性特征,耦合协调性的区域分布特征,不仅与这些地区的区位有关,也与该地区的城市规模、经济发展水平密切相关。

关键词: 城市人口流动倾向强度, 城市吸引力度, 耦合协调, 网络关注度, 东北地区

Abstract:

Targeting at 177 cities in three provinces of Northeast China, collecting networking attention data as samples from twelve websites such as Zhaolian recruitment, worry-free future, 58 city recruitment, Ctrip, where to go, Tuniu, 58 city rental network, market, Gu Anke, Baidu map, Gaode map and Tencent map. Using network data mining technology to construct the measurement model of urban population flow tendency intensity and attractiveness, combined with the coupling coordination model and nuclear density measurement method, the hierarchical characteristics, type characteristics and spatial characteristics of urban population flow tendency intensity and attractiveness in the cities of three northeastern provinces are measured. The results from the survey related to the intensity of population flows and coupling coordination above show that: 1) The intensity of population mobility tendency and attractiveness of cities of different scales in Northeast China are various, and the larger the scale of cities, the higher the intensity of population mobility tendency and attractiveness of cities; the intensity of population mobility tendency and attractiveness of cities of similar scales also show obvious differences; the intensity of urban population mobility tendency and attractiveness of cities in Northeast China are in positive relations as a whole. The intensity of urban population mobility tendency and urban attractiveness in Northeast China are characterized by high urban primacy and obvious long tail characteristics; 2) The cities with extreme coupling, high coupling, moderate coupling and low coupling of population mobility tendency intensity and urban attractiveness in Northeast China accounted for 2.26%, 7.91%, 24.29% and 65.54% of the total number of cities in Northeast China, respectively; the overall difference between provincial population mobility tendency intensity and urban attractiveness coupling coordination level was small, and the gap was not obvious; The leading type, synchronous type and lagging type of population flow accounted for 63.85%, 17.51% and 18.64% of the total number of cities in Northeast China, respectively, with obvious inter-provincial differences; 3) The spatial characteristics of coupling and coordination between the intensity of population mobility tendency and urban attractiveness in Northeast China show the characteristics of hierarchy, agglomeration and depression. The regional distribution characteristics of coupling and coordination are closely related not only to the location of these areas, but to the city scale and economic development level of the region.

Key words: urban population flow tendency strength, urban gravity, coupling coordination, network attention, Northeast China

中图分类号: 

  • K921/927